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Guillaume Fraysse
Guillaume Fraysse
Researcher at Orange
Verified email at orange.com
Title
Cited by
Cited by
Year
Encrypted Traffic Classification at Line Rate in Programmable Switches with Machine Learning
ATJ Akem, G Fraysse, M Fiore
IEEE/IFIP Network Operations and Management Symposium, 2024
122024
A mixture of experts regression model for functional response with functional covariates
JS Tamo Tchomgui, J Jacques, G Fraysse, V Barriac, S Chretien
Statistics and Computing 34 (5), 154, 2024
22024
A resource usage efficient distributed allocation algorithm for 5G Service Function Chains
G Fraysse, J Lejeune, J Sopena, P Sens
Distributed Applications and Interoperable Systems: 20th IFIP WG 6.1 …, 2020
22020
Functional Linear Regression for the prediction of streaming video QoE
JST Tchomgui, V Barriac, G Fraysse, J Jacques, S Chrétien
2024 20th International Conference on Network and Service Management (CNSM), 1-7, 2024
12024
Autoscaling Packet Core Network Functions with Deep Reinforcement Learning
J Singh, S Verma, Y Matsuo, F Fossati, G Fraysse
NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium, 1-6, 2023
12023
Function-on-Function Mixture of Experts Regression Models
JST Tchomgui, J Jacques, S Chrétien, G Fraysse, V Barriac
15th International Conference of the ERCIM WG on Computational and …, 2022
12022
Real‐Time Encrypted Traffic Classification in Programmable Networks with P4 and Machine Learning
ATJ Akem, G Fraysse, M Fiore
International Journal of Network Management 35 (1), e2320, 2025
2025
PenFFR
JST TCHOMGUI, J Jacques, G Fraysse, S Chrétien, V Barriac
2024
Safe RL for Core Network autoscaling
X Long, G Fraysse
2024 20th International Conference on Network and Service Management (CNSM), 1-7, 2024
2024
A mixture of experts regression model for functional response with functional covariates
JS Tamo Tchomgui, J Jacques, G Fraysse, V Barriac, S Chretien
Statistics and Computing 34 (5), 154, 2024
2024
Penalized Spline Regression for Gaussian Function-on-Function Mixture-of-Experts
JST TCHOMGUI, J Jacques, S Chrétien, G Fraysse, V Barriac
ENBIS-24 Conference, 2024
2024
A mixture of experts regression model for functional response with functional covariates
T JST, J JACQUES, G FRAYSSE, V BARRIAC, S CHRETIEN
2024
Function-on-Function Mixture-of-Experts Regression
JST TCHOMGUI, J Jacques, S Chrétien, G Fraysse, V Barriac
fda-lille: Functional Data Analysis Workshop, 2024
2024
Generating Commit Messages for Configuration Files in 5G Network Deployment Using LLMs
Y Beining, S Alassane, F Guillaume, C Sihem
2024 20th International Conference on Network and Service Management (CNSM), 1-7, 2024
2024
Modèle de mélanges d'experts pour données fonctionnelles
JST TCHOMGUI, J Jacques, S Chrétien, G Fraysse, V Barriac
54es Journées de la Statistique de la SFdS, 2023
2023
Integrating state prediction into the Deep Reinforcement Learning for the Autoscaling of Core Network Functions
Y Matsuo, J Singh, S Verma, G Fraysse
NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium, 1-5, 2023
2023
Prédiction de la Qualité d'Expérience dans les Réseaux Mobiles: Cas de la VoIP
JST Tchomgui, J Jacques, S Chrétien, G Fraysse, V Barriac
JDS'22 53es journées de la Statistique de la Société Française de …, 2022
2022
Quality of Experience’s Prediction in Mobile Networks: The case of VoIP service
JST TCHOMGUI, J Jacques, G Fraysse, V Barriac, S Chrétien
spring school «Statlearn: challenging problems in statistical learning», 2022
2022
Distributed resource allocation for virtual networks
G Fraysse
Sorbonne Université, CNRS, LIP6, Paris, France, 2020
2020
Mapping the allocation of resources for 5G slices to the k-MUTEX with n instances of m resources problem
G Fraysse, J Lejeune, J Sopena, P Sens
2018 14th International Conference on Network and Service Management (CNSM …, 2018
2018
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